Textile Detection from CCTV Surveillance Videos
The system focuses on capturing and saving various attributes of fabrics worn by targeted persons captured from various CCTV cameras through distributed intelligence along with time and location stamps over the period in a database. The database is compiled to be used in identification of suspects from video clips of crime related CCTV footages captured in a series of CCTV cameras located on routes and close to scene of crime.
- To Collect Image Dataset for Indian fabrics.
- To Train our Machine Learning models for classifying the fabric labels from the video footages frame by frame.
- To design a system Architecture for processing Video footages from CCTV.
- To Store the Identified labels and respective timestamp in a database for the processed video footages.
- To provide an user friendly interface for the operator to perform video forensics and reporting.
- To Design the entire system in a more robust manner.
Install Node.js and npm using the link above. Follow instructions on their respecive websites. Npm is included with Node.js
Clone the repository
git clone https://github.com/amurto/gearstalk.gitInstall all the dependencies
cd web_app
npm installRun the project
cd web_app
npm startOpen a web browser and go to
http://localhost:3000- Amurto Basu @amurto
- Carol Sebastian @carol80
- Sherwin Pillai @sherwinpillai
- Mahesh Desai @mahesh131998
- Shubham Bhate @ssb2920
- Cassia Vaz @CassiaVaz
- Mahendra Mehra @mahendra-mehra
- Elvis Dsouza @ejson03
